Model comparison
Inkling vs Mistral Nemo
Inkling is the stronger model overall, scoring 44.1 to 26.4 on the Noometry Index. Mistral Nemo costs 17× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. Inkling scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Inkling leads 55.1 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 88.3% for Inkling and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1.87 / $4.68 for Inkling.
- Mistral Nemo accepts more context: 128K tokens versus 66K.
Side by side
| Inkling | Mistral Nemo | |
|---|---|---|
| Provider | Thinking Machines Lab | Mistral AI |
| Noometry Index | 44.1 | 26.4 |
| Released | 2026-07-15 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 66K | 128K |
| Max output | 66K | 128K |
| Input $ / M tokens | $1.87 | $0.15 |
| Output $ / M tokens | $4.68 | $0.15 |
| Results tracked | 41 | 10 |
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Category by category
Coding Not comparable
Inkling: 34.5 (#234), Mistral Nemo: —
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| FrontierCode | 14% | — |
| LMArena WebDev | 1413 | — |
| FrontierSWE | 4.1% | — |
| SciCode | 47% | — |
| WeirdML | 32.3% | — |
| LMArena Coding | 1464 | — |
| ALE-Bench | 946 | — |
Agentic & Tool Use Inkling leads
Inkling: 29.6 (#85), Mistral Nemo: 23.5 (#125)
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| APEX-Agents | 33.8% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| τ²-bench Banking | 25% | — |
| BALROG | — | 17.6% |
Reasoning Inkling leads
Inkling: 40.4 (#56), Mistral Nemo: 20.7 (#232)
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| DTBench | 87.5% | 48.6% |
| Epoch Capabilities Index | 148.54 | 118.68 |
| ARC-AGI-2 | 36.5% | — |
| SimpleBench | 50% | — |
| ARC-AGI-1 | 79.5% | — |
| CritPt | 5.4% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | 1451 | — |
| LMCA | 37.6% | — |
| PIQA | — | 83.5% |
Math Inkling leads
Inkling: 31.3 (#225), Mistral Nemo: 25.5 (#268)
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 33.3% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 0% | — |
| LMArena Math | 1479 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Inkling leads
Inkling: 55.1 (#49), Mistral Nemo: 12.3 (#298)
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 88.3% | 29.9% |
| SimpleQA Verified | 40.3% | — |
| LMArena Expert | 1465 | — |
| BoolQ | — | 82.5% |
Multilingual Not comparable
Inkling: 54.0 (#52), Mistral Nemo: —
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1434 | — |
| LMArena Chinese | 1490 | — |
| LMArena French | 1458 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1429 | — |
| LMArena Korean | 1404 | — |
| LMArena Russian | 1429 | — |
| LMArena Spanish | 1448 | — |
Instruction Following Not comparable
Inkling: 75.1 (#71), Mistral Nemo: —
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1426 | — |
Long Context Not comparable
Inkling: 43.8 (#86), Mistral Nemo: —
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference Inkling leads
Inkling: 65.2 (#51), Mistral Nemo: 28.5 (#296)
| Benchmark | Inkling | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1611 | 881 |
| LMArena Text | 1441 | — |
| LMArena Creative Writing | 1387 | — |
| EQ-Bench 4 | 1226 | — |
| LMArena Multi-Turn | 1436 | — |
Frequently asked questions
Is Inkling better than Mistral Nemo?
Inkling is the stronger model overall, scoring 44.1 to 26.4 on the Noometry Index. Mistral Nemo costs 17× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.
Which is cheaper, Inkling or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Inkling lists at $1.87 and $4.68.
Which has the bigger context window?
Mistral Nemo does, with 128K tokens against 66K.
How many benchmarks do Inkling and Mistral Nemo share?
4 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Mistral Nemo has 10.